Application of machine learning to predict postoperative gastrointestinal bleed in bariatric surgery.

Saved in:
Bibliographic Details
Title: Application of machine learning to predict postoperative gastrointestinal bleed in bariatric surgery.
Authors: Hsu JL; Department of Surgery, University of North Carolina School of Medicine, 4001 Burnett-Womack CB#7050, Chapel Hill, NC, 27599, USA. Justin_Hsu@med.unc.edu., Chen KA; Department of Surgery, University of North Carolina School of Medicine, 4001 Burnett-Womack CB#7050, Chapel Hill, NC, 27599, USA., Butler LR; University of North Carolina School of Medicine, Chapel Hill, NC, USA., Bahraini A; Department of Surgery, University of North Carolina School of Medicine, 4001 Burnett-Womack CB#7050, Chapel Hill, NC, 27599, USA., Kapadia MR; Department of Surgery, University of North Carolina School of Medicine, 4001 Burnett-Womack CB#7050, Chapel Hill, NC, 27599, USA., Gomez SM; Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Farrell TM; Department of Surgery, University of North Carolina School of Medicine, 4001 Burnett-Womack CB#7050, Chapel Hill, NC, 27599, USA.
Source: Surgical endoscopy [Surg Endosc] 2023 Sep; Vol. 37 (9), pp. 7121-7127. Date of Electronic Publication: 2023 Jun 13.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 8806653 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-2218 (Electronic) Linking ISSN: 09302794 NLM ISO Abbreviation: Surg Endosc Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1432-2218
DOI:10.1007/s00464-023-10156-0